MATEC Web Conf.
Volume 267, 20192018 2nd AASRI International Conference on Intelligent Systems and Control (ISC 2018)
|Number of page(s)||4|
|Section||Control and Automation|
|Published online||11 February 2019|
Application of Support Vector Machine in Fault Diagnosis of Elevator Key Structures
Mechanical Engineering, Changshu Institute of Technology, 215500, China
2 Jiangsu Province Elevator Intelligent Safety Key Construction Laboratory, 215500, China
3 Suzhou Rhine Elevator Manufacture Co., Ltd, 215500, China
Elevator is an important equipment in special equipment, its operation reliability is related to the life safety of elevator passengers; when the elevator fails, how to timely accurate identification of fault types and judgment of fault causes are the key to engineering application and theoretical research. This paper mainly introduces the application of support vector machine in fault diagnosis of elevator key structures.
© The Authors, published by EDP Sciences, 2019
This is an open access article distributed under the terms of the Creative Commons Attribution License 4.0 (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.